Nucleic Acids Research, 2002, Vol. 30, No. 13 2920-2929
© 2002 Oxford University Press
Analysis of cell-cycle gene expression in Saccharomyces cerevisiae using microarrays and multiple synchronization methods
Department of Statistics, University of Michigan, Ann Arbor, MI 48109-1285, USA and 1 Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI 48109-0620, USA
Microarray analysis of gene expression during the yeast division cycle has led to the proposal that a significant number of genes in Saccharomyces cerevisiae are expressed in a cell-cycle-specific manner. Four different methods of synchronization were used for cell-cycle analysis. Randomized data exhibit periodic patterns of lesser strength than the experimental data. Thus the cyclicities in the expression measurements in the four experiments presented do not arise from chance fluctuations or noise in the data. However, when the degree of cyclicity for genes in different experiments are compared, a large degree of non-reproducibility is found. Re-examining the phase timing of peak expression, we find that three of the experiments (those using
-factor, CDC28 and CDC15 synchronization) show consistent patterns of phasing, but the elutriation synchrony results demonstrate a different pattern from the other arrest-release synchronization methods. Specific genes can show a wide range of cyclical behavior between different experiments; a gene with high cyclicity in one experiment can show essentially no cyclicity in another experiment. The elutriation experiment, possibly being the least perturbing of the four synchronization methods, may give the most accurate characterization of the state of gene expression during the normal, unperturbed cell cycle. Under this alternative explanation, the observed cyclicities in the other three experiments are a stress response to synchronization, and may not reproduce in unperturbed cells.
* To whom correspondence should be addressed. Tel: +1 734 764 4215; Fax: +1 734 764 3562; Email: cooper{at}umich.edu Correspondence may also be addressed to Kerby Shedden. Tel: +1 734 764 0438; Fax: +1 734 763 4676; Email: kshedden{at}umich.edu
![]()
CiteULike
Connotea
Del.icio.us What's this?
This article has been cited by other articles:
![]() |
M. E. Futschik and H. Herzel Are we overestimating the number of cell-cycling genes? The impact of background models on time-series analysis Bioinformatics, April 15, 2008; 24(8): 1063 - 1069. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Rowicka, A. Kudlicki, B. P. Tu, and Z. Otwinowski High-resolution timing of cell cycle-regulated gene expression PNAS, October 23, 2007; 104(43): 16892 - 16897. [Abstract] [Full Text] [PDF] |
||||
![]() |
F. Hermans and E. Tsiporkova Merging microarray cell synchronization experiments through curve alignment Bioinformatics, January 15, 2007; 23(2): e64 - e70. [Abstract] [Full Text] [PDF] |
||||
![]() |
A.-K. Souid, C. Gao, L. Wang, E. Milgrom, and W.-C. W. Shen ELM1 Is Required for Multidrug Resistance in Saccharomyces cerevisiae Genetics, August 1, 2006; 173(4): 1919 - 1937. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. Qiu, Z. J. Wang, and K. J. R. Liu Polynomial model approach for resynchronization analysis of cell-cycle gene expression data Bioinformatics, April 15, 2006; 22(8): 959 - 966. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. F. Glynn, J. Chen, and A. R. Mushegian Detecting periodic patterns in unevenly spaced gene expression time series using Lomb-Scargle periodograms Bioinformatics, February 1, 2006; 22(3): 310 - 316. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. Willbrand, F. Radvanyi, J.-P. Nadal, J.-P. Thiery, and T. M. A. Fink Identifying genes from up-down properties of microarray expression series Bioinformatics, October 15, 2005; 21(20): 3859 - 3864. [Abstract] [Full Text] [PDF] |
||||
![]() |
U. de Lichtenberg, L. J. Jensen, A. Fausboll, T. S. Jensen, P. Bork, and S. Brunak Comparison of computational methods for the identification of cell cycle-regulated genes Bioinformatics, April 1, 2005; 21(7): 1164 - 1171. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. A. Willis, K. E. Barbara, B. B. Menon, J. Moffat, B. Andrews, and G. M. Santangelo The Global Transcriptional Activator of Saccharomyces cerevisiae, Gcr1p, Mediates the Response to Glucose by Stimulating Protein Synthesis and CLN-Dependent Cell Cycle Progression Genetics, November 1, 2003; 165(3): 1017 - 1029. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Menges, L. Hennig, W. Gruissem, and J. A. H. Murray Cell Cycle-regulated Gene Expression in Arabidopsis J. Biol. Chem., October 25, 2002; 277(44): 41987 - 42002. [Abstract] [Full Text] [PDF] |
||||



